p>You will focus on end‑to‑end workflows such as: • Administering and evolving online data stores, self‑serve: safe capacity and index/schema changes with guardrails; paved paths for common maintenance • Operator and launch experiences for online data stores: privileged updates with approvals/audit; provisioning, discovery, and adoption of new stores (e.g., search); read‑safe data exploration and verification to confirm data appears as expected after creation or fixes (e.g., sample/lookup) • Designing and running pipelines and data flows: authoring and review, scheduling, handling retries/backoffs and backfills, managing runs with clear dependency views (directed acyclic graphs, DAGs), and supporting batch/streaming movement including change data capture (CDC)/replication and automatic syncing • Diagnosing and fixing issues faster: pipeline health at a glance; freshness, lag, throughput, and error signals; guided triage that links runs, logs, metrics, lineage, config diffs, and data samples. You'll help software engineers, data engineers, analytics engineers, and ML engineers-and on‑call owners-move from change intent to reliable outcomes: configure and validate pipelines, observe and troubleshoot runs, evolve schemas safely, make ODS operations self‑serve and safe (e.g., capacity/index changes with guardrails), and set up automatic syncing between ODS and analytics, in addition to streamlining the customer experience across ODS and Data Movement products.